To achieve the objectives for ELEC 320, we work toward the following course outcomes.

- classify systems with respect to continuous- or discrete-time, linear or nonlinear, time-invariant or time-varying, and causal or noncausal.
- explain the meaning and significance of the following terms: signal; energy and average power of a signal; linear, time-invariant (LTI) system; zero-input response (ZIR); zero-state response (ZSR); impulse response; convolution; frequency response; orthogonal signals; Fourier series; Fourier transform; amplitude and phase spectra of a signal; the special functions "rect" and "sinc"; amplitude modulation (AM); frequency-selective filters (lowpass, bandpass, bandstop, highpass); "order" of a filter; Bode plot; -3 dB cutoff frequency; the sampling theorem; Laplace transform; s-plane; transfer function; poles and zeros.
- perform the continuous-time convolution operation on two signals.
- determine the impulse response of a LTI system using analysis and experimental measurements.
- compute the ZSR of a LTI system using convolution, based on the impulse response of the system.
- determine the frequency response of a circuit using analysis and experimental measurements, and display the results on a Bode plot.
- design first-order, active, analog filters (lowpass, bandpass, and highpass) that meet specifications on passband gain and cutoff frequency; then implement the circuits and measure the frequency response.
- derive an optimum approximation to a signal that minimizes the energy of the error.
- use the Fourier series to analyze the frequency spectrum of periodic signals.
- use the Fourier transform to analyze the frequency spectrum of aperiodic signals, employing tables of Fourier transform pairs and properties.
- use the fast Fourier transform (FFT) in Matlab and on the oscilloscope to analyze the frequency spectrum of experimentally-measured, discrete-time (sampled) signals.
- apply the Fourier transform to compute the ZSR of a LTI system, based on the frequency response of the system.
- apply the Fourier transform to analyze amplitude modulation (AM) in the frequency domain.
- use the sampling theorem to analyze sampling in the frequency domain, and explain aliasing, ideal reconstruction with sinc functions, and zero-order hold (ZOH) reconstruction.
- perform analog-to-digital (A/D) conversion and digital-to-analog (D/A) conversion in the laboratory using the Keithley boards on the PCs.
- apply the Laplace transform to compute the ZIR and ZSR of a LTI system.
- analyze analog filters in the s-domain using the Laplace transform, based on the locations of the poles and zeros of the transfer function.
- use Matlab as a tool for analysis and design of signals and systems.
- complete a design project on a topic chosen by the student in the general area of signals and systems, culminating with an oral presentation and a written report.